Senior Data Scientist
Xcede are currently supporting a Global Healthcare company with the delivery of a Marketing effectiveness project, focused on Marketing Mix Modelling, Multi-Touch Attribution, and Bayesian Modelling.
Our customer is actively searching for 2 Senior Data Scientists (Outside IR35), with very strong experience of Bayesian Modelling, probablistic methods, and an expert level knowledge of PYMC and Python.
The Senor Data Scientists will be responsible for data collection, including data extraction and manipulation, data analysis and validation. They will build base models according to the project specification, incorporating all drivers of KPIs, providing rationale for variables selection, understanding coefficients and contribution.
Key skills include;
- Expert in Python and PYMC
- Have in depth understanding of statistical modelling / ML techniques
- Strong experience with Regression based models applied to the context of marketing
- Solid experience with Probabilistic Programming and Bayesian Methods
- Be an expert in mining large & very complex data sets using SQL and Spark
- Have in depth understanding of statistical modelling techniques and their mathematical foundations,
- Have a good working knowledge of Pymc and cloud-based data science frameworks and toolkits. Working knowledge of Azure is preferred
- Have a deep knowledge of a sufficiently broad area of technical specialism (Optimisation, Applied Mathematics, Simulation)
- MS or PhD degree in Data Science, Computer science, applied mathematics, statistics, or another relevant discipline with a strong foundation in modelling and computer science.
Please note, if you don't have experience with PYMC then we will not be able to consider your application.